A Latent Trust Discovery Algorithm Based on Optimization of Trust Network

Mei-yu FANG, Bing-lin YANG, Qi-bei LU

Abstract


Trust networks can be divided into user-to-user and user-to-commodity trust subnetworks. In those networks, it can be distinguished two kinds of classical trust relationships such as functional trust and referral trust. In fact, there is a third invisible trust relationship which we call latent trust. We propose the discovery algorithm to find the latent trust and compute the trust value of user-to-commodity trust which can help customers to directly make the final purchase decisions. Experiment results with the extended Epinions’ dataset illustrate that this algorithm has a better performance than other similar algorithms.

Keywords


Latent trust, Trust view, User-to-commodity trust


DOI
10.12783/dtcse/aicae2019/31455

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